Penetrance of Breast Cancer Susceptibility Genes from the eMERGE III Network

Author:

Fan Xiao12,Wynn Julia1,Shang Ning3,Liu Cong3,Fedotov Alexander4,Hallquist Miranda L G5,Buchanan Adam H5,Williams Marc S5,Smith Maureen E6,Hoell Christin7,Rasmussen-Torvik Laura J8,Peterson Josh F9,Wiesner Georgia L10,Murad Andrea M11,Jarvik Gail P12,Gordon Adam S7,Rosenthal Elisabeth A12,Stanaway Ian B12,Crosslin David R13,Larson Eric B14,Leppig Kathleen A14,Henrikson Nora B14,Williams Janet L5,Li Rongling15,Hebbring Scott16,Weng Chunhua3,Shen Yufeng23,Crew Katherine D1718,Chung Wendy K11718

Affiliation:

1. Department of Pediatrics, Columbia University Irving Medical Center, New York, NY 10032

2. Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032

3. Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032

4. Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, NY 10032

5. Genomic Medicine Institute, Geisinger, Danville, PA 17822

6. Department of Medicine, Northwestern University, Chicago Feinberg School of Medicine, IL 60657

7. Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611

8. Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611

9. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN 37203

10. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203

11. Division of Genetic Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109

12. Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, 98105

13. Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA, 98105

14. Kaiser Permanente Washington Health Research Institute, Seattle, WA 98112

15. Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224

16. Center for Precision Medicine Research, Marshfield Clinic, Marshfield, WI 54449

17. Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032

18. Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032

Abstract

Abstract Background Unbiased estimates of penetrance are challenging, but are critically important to make informed choices about strategies for risk management through increased surveillance and risk reducing interventions. Methods We studied the penetrance and clinical outcomes of seven breast cancer susceptibility genes (BRCA1, BRCA2, TP53, CHEK2, ATM, PALB2 and PTEN) in almost 13,458 participants unselected for personal or family history of breast cancer. We identified 242 female participants with pathogenic or likely pathogenic variants in one of the seven genes for penetrance analyses, and 147 women did not previously know their genetic results. Results Out of the 147 women, 32 women were diagnosed with breast cancer at an average age of 52.8 years. Estimated penetrance by age 60 years ranged from 17.8%-43.8%, depending on the gene. In clinical-impact analysis, 42.3% (95% confidence interval = 31.3% to 53.3%) of women had taken actions related to their genetic results and two new breast cancer cases were identified within the first twelve months after genetic results disclosure. Conclusions Our study provides population-based penetrance estimates for the understudied genes, CHEK2, ATM, and PALB2, and highlights the importance of using unselected populations for penetrance studies. It also demonstrates the potential clinical impact of genetic testing to improve healthcare through early diagnosis and preventative screening.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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